A System For Providing Native Machine Learning Service For User Adaptation On A Mobile Application And Portable Computing Device And Method Thereof
Updated about 1 year ago
Abstract
The present invention discloses a system for providing native machine learning service for user adaptation on a mobile application and portable computing device and method thereof. The system includes, but not limited to, at least one processing unit; a non-transitory computer-readable media storing instructions which, when executed by the one or more processors, cause: an input device for receiving data related to a plurality of features wherein the received data comprises data related to called parties of mobile calls originated by the mobile platform. Further, the processing unit is configured for determining at least one feature in the plurality of features based on the received data, and determining by the computation server, when to classify the feature data into one of categories and labels from a predefined set, using a measure of certainty, by performing certainty calculations at a plurality of time instances during the conversation.
Information
| Application ID | 202211023197 |
| Invention Field | COMPUTER SCIENCE |
| Date of Application | 2022-04-20 |
| Publication Number | 16/2022 |
Applicants
| Name | Address | Country | Nationality |
|---|---|---|---|
| Dr. Aanjey Mani Tripathi | Associate Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida | India | India |
| Heena Khera | Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida | India | India |
| Vishakha Chauhan | Research Scholar, Department of Computer Science and Engineering, SRM IST, Modinagar campus, Delhi NCR | India | India |
| Vinod kumar | Assistant Professor, Department of Computing Application, ABES Engineering College, Ghaziabad | India | India |
| Arunendra Mani Tripathi | Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida | India | India |
| Shalini | Research Scholar, Department of Science and Technology, Faculty of Education and Methodology, Jayoti Vidyapeeth Women's University, Rajasthan | India | India |
| Surendra Singh Chauhan | Assistant Professor, School of Computer Science and Engineering, Galgotias University, Greater Noida | India | India |
Inventors
| Name | Address | Country | Nationality |
|---|---|---|---|
| Dr. Aanjey Mani Tripathi | Associate Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida | India | India |
| Heena Khera | Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida | India | India |
| Vishakha Chauhan | Research Scholar, Department of Computer Science and Engineering, SRM IST, Modinagar campus, Delhi NCR | India | India |
| Vinod kumar | Assistant Professor, Department of Computing Application, ABES Engineering College, Ghaziabad | India | India |
| Arunendra Mani Tripathi | Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida | India | India |
| Shalini | Research Scholar, Department of Science and Technology, Faculty of Education and Methodology, Jayoti Vidyapeeth Women's University, Rajasthan | India | India |
| Surendra Singh Chauhan | Assistant Professor, School of Computer Science and Engineering, Galgotias University, Greater Noida | India | India |
Specification
Documents
| Name | Date |
| 202211023197-STATEMENT OF UNDERTAKING (FORM 3) [20-04-2022(online)].pdf | 2022-04-20 |
| 202211023197-FORM-9 [20-04-2022(online)].pdf | 2022-04-20 |
| 202211023197-DECLARATION OF INVENTORSHIP (FORM 5) [20-04-2022(online)].pdf | 2022-04-20 |
| 202211023197-COMPLETE SPECIFICATION [20-04-2022(online)].pdf | 2022-04-20 |
| 202211023197-DRAWINGS [20-04-2022(online)].pdf | 2022-04-20 |
| 202211023197-FORM 1 [20-04-2022(online)].pdf | 2022-04-20 |
| 202211023197-REQUEST FOR EARLY PUBLICATION(FORM-9) [20-04-2022(online)].pdf | 2022-04-20 |
Orders
| Applicant | Section | Controller | Decision Date | URL |